Albina Hashimova

The low level of the nation’s health and physical activity highlights the need to find additional mechanisms for the development of the sports sphere, one of which is to increase its financing. This paper aims to investigate how an increase in general government expenditure on recreation and sports affects sports entrepreneurship (turnover or gross premium written in the sports industry; value added at factor cost of sports enterprises; sports industry market size) and the share of the population involved in sports (as an indicator characterizing the development of sports). The study used the panel unit root test and fixed and random effects models. Modeling proved that the increase in general government expenditure on recreation and sports by 1% largely determines the increase in value added at factor cost of sports enterprises (by 5.48%). A significantly less effect is for turnover or gross premium written in the sports industry (by 0.85%), and the smallest is for the sports industry market size (by 0.4%). A 1% increase in general government expenditure on recreation and sport has the greatest impact in the Czech Republic (by 2.37%) and Slovakia (by 2.44%) and the least – in Australia (by 0.4%). The share of the population involved in sports is almost independent of general government expenditure on recreation and sports in all 10 OECD countries.

Type of the article: Research Article

Abstract
The effectiveness of international development assistance in promoting sustainable development remains a central question for the management of multilateral aid and public governance as the 2030 Agenda enters its final years. This paper examines the relationship between aid effectiveness, measured by the World Bank’s Country Policy and Institutional Assessment (CPIA), and the achievement of the Sustainable Development Goals (SDGs) across 76 IDA-eligible countries over the period 2005–2023. Using two-way fixed-effects panel estimations with clustered standard errors, the analysis covers five individual SDG indicators (poverty, child mortality, primary education, electricity access, and employment) and the composite SDG Index. The results show that the overall CPIA score is significantly associated with poverty reduction in low-income countries (β = −12.0, p < 0.10), while its effect on the composite SDG Index is statistically insignificant within countries, despite a strong cross-sectional association. A cluster decomposition reveals that structural policies drive improvements in child mortality and electricity access, while economic management supports employment outcomes. Sub-sample analysis demonstrates pronounced heterogeneity: the marginal return to institutional quality is highest in the poorest economies and shifts toward health and labor market outcomes as countries move up the income ladder. GDP per capita remains the dominant predictor across all SDG dimensions, confirming that aid effectiveness complements rather than substitutes for domestic economic capacity. These findings support a differentiated management approach to development assistance that targets specific governance dimensions to specific SDG outcomes and prioritizes institutional strengthening in the most resource-constrained settings.